Tilletia laevis Kühn and Tilletia controversa Kühn reprogrammed the development of wheat anther
Bibliographic record
Abstract
Tilletia laevis cause common bunt and Tilletia controversa cause dwarf bunt of wheat. Both pathogens can cause fungus galls which replace with wheat grains and lead to the total loss of wheat yields. To better understand disease progression, confocal microscopy was used to construct the timeline of cell development of healthy wheat anthers, and which was approved by analyzing the expression level of some developmental and program cell death genes. Based on comparing with normal healthy anthers, tapetum cells should be disappeared at 1300 µm, but in T. laevis infected anthers, tapetum cells was visible in 2100 µm of T. controversa infected anthers. For the anthers infected by T. laevis and T. controversa , cell size and counts showed significant difference with normal anther cells. Additionally, for the anthers of five developmental stages, transcriptome profile and infected five developmental stages were also analyzed. Furthermore, we established virus-induced gene silencing (VIGS) for wheat bunt pathogens. Based on RNA-Seq data, TaEC in wheat anther were validated to contribute to the resistance to both bunt pathogens. This study firstly constructed the development timeline of wheat anthers and firstly constructed VIGS system to explore the interaction of both bunt pathogens with wheat anther development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".